Design and operate Kubernetes platforms, CI/CD and Terraform modules for enterprise customers.
Build the platforms enterprises run on
Join a senior engineering team shipping AI, cloud, DevOps and data platforms for customers across the globe.
An engineering home, not a body shop
We pick problems, customers and technologies carefully — so the work stays sharp.
Hyperscaler-grade work
Ship platforms for fintech, AI-native and global enterprise customers.
Senior-only team
Learn from engineers with 10–15+ years across AWS, Azure, GCP and AI.
Modern stack
Kubernetes, Terraform, Spark, Ray, vLLM, OpenTelemetry — no legacy drag.
Remote-first
Async-friendly culture, flexible hours, real ownership from day one.
Open roles
Click a role to view full job description. Don't see your role? Apply for 'Other' below.
Build training and inference pipelines on GPUs — Kubeflow, Ray, vLLM, feature stores, model registries.
Build lakehouses with Spark, Airflow, Trino, Iceberg and Snowflake for high-volume analytics workloads.
Own SLOs, incident response and observability on Prometheus, Grafana, OpenTelemetry and ELK.
Shift-left security: SAST/DAST, SBOM, secrets, policy-as-code, Kubernetes hardening.
Lead AWS / Azure / GCP architecture engagements — landing zones, cost, migration and modernization.
Deliver enterprise training on Linux, Kubernetes, Terraform, AWS/Azure/GCP and observability.
Work on LLM apps, RAG pipelines and agent tooling alongside senior engineers.
Send us your application
Upload your resume and tell us which role you're interested in. We respond within 5 working days.
Let's engineer your next platform.
Talk to our architects about your AI, cloud, or data engineering challenge.